光年之外居然做了能用Skills的AI浏览器：超实用实用案例+现成脚本

Core Viewpoint - The article discusses the introduction of Tabbit, a new AI browser developed by the Lightyear team, which aims to enhance browsing efficiency and context collection through various innovative features [1][2]. Summary by Sections Introduction to Tabbit Browser - Tabbit is described as the first native AI browser in China, designed from the ground up, unlike previous attempts that merely added plugins to existing browsers [1]. Core Features - Tabbit includes five core functionalities: 1. Chat: Allows users to interact with AI while browsing, supporting context from web pages, tab groups, and bookmarks [4]. 2. Skills: Automates repetitive tasks into one-click operations, allowing for variable inputs and webpage content modification [4]. 3. Agent: AI can automatically complete complex tasks transparently [4]. 4. Favorites: Offers semantic search for fragmented bookmarks [4]. 5. Tab Management: Automatically groups tabs and syncs them in the cloud [4]. Use Cases - The article provides several use cases demonstrating Tabbit's capabilities: - Information Organization: Users can manage multiple tabs related to a specific topic, such as the Anthropic and U.S. Department of Defense controversy, with automatic grouping based on content [12][17]. - Travel Planning: The intelligent agent can assist in finding flights and hotels based on user preferences, streamlining the booking process [23][27]. - Template Creation: Users can create reusable templates for tasks like travel planning, allowing for quick adjustments without re-entering all details [32][40]. - Bookmark Management: Tabbit enhances the usability of bookmarks by allowing users to search and retrieve saved content easily, including images [41][46]. Advanced Functionalities - Tabbit offers advanced features such as saving entire webpage content, generating summaries, and semantic search capabilities [57]. - Users can create scripts to modify webpage content or enhance browsing experiences without needing programming skills [60][71]. Conclusion - The article emphasizes the need for users to adapt to using AI tools like Tabbit to improve efficiency in their workflows, particularly in the context of browsing and information management [76].